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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Enhancing Lte Rss for a Robust Path Loss Analysis with Noise Removal

2023International Journal of Image Graphics and Signal ProcessingJournalOpen access

10.5815/ijigsp.2023.03.05 Full text3 citations

Authors

3 authors across 3 institutions in 2 countries.

Seyi E. OlukanniFirst author
- Federal University Lokoja (NG)
- Confluence University of Science and Technology, Osara (NG)
Joseph Isabona
- Federal University Lokoja (NG)
- Confluence University of Science and Technology, Osara (NG)
Odesanya ItuabhorSenior author
- Federal University Lokoja (NG)
- Confluence University of Science and Technology, Osara (NG)
as printed: Ituabhor Odesanya

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Blind Source Separation Techniqueslevel 3 · 0.99
Image and Signal Denoising Methodslevel 3 · 0.98
ECG Monitoring and Analysislevel 3 · 0.97

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2023 · International Journal of Image Graphics and Signal Processing · 3 citations
https://openalex.org/W4382136189

Enhancing Lte Rss for a Robust Path Loss Analysis with Noise Removal · Sankore